Worked examples — Transfer function — Laplace domain, poles and zeros
Before symbols: a quick reminder of the alphabet we use, so nothing appears un-earned.
The scenario matrix
Every transfer function you meet falls into one of these cells. Each example below is tagged with the cell it covers.
| # | Cell (case class) | What makes it distinct | Example |
|---|---|---|---|
| A | Two distinct real poles, both left | , | Ex 1 |
| B | Complex-conjugate poles, left | , → ringing | Ex 2 |
| C | Right-half-plane pole | some → unstable | Ex 3 |
| D | Pole on the imaginary axis (integrator / pure oscillator) | → marginal | Ex 4 |
| E | Repeated (degenerate) pole | double root, term | Ex 5 |
| F | A zero present — does it change stability? | zero reweights, poles decide | Ex 6 |
| G | Right-half-plane zero (non-minimum-phase) | "wrong-way" initial motion | Ex 7 |
| H | Real-world word problem (rocket actuator) | build from an ODE, read personality | Ex 8 |
| I | Limiting values (DC gain, high-freq roll-off) | and | Ex 9 |
| J | Exam twist — a parameter hides the instability | find the threshold | Ex 10 |
Ex 1 — Cell A: two distinct real poles (both stable)
Forecast: Both terms in the denominator are positive with positive coefficients — guess: two negative real roots → decaying, no wiggle.
- Factor the denominator. Why this step? Poles are the roots of ; factoring exposes them. Poles at and .
- Look for zeros. Why? Numerator is the constant ; has no solution, so no finite zeros.
- Read the signs. Why? Real part of each pole is the decay rate. Both → stable. Both → no oscillation.
- Write the shape. Response . The slower pole (closer to the imaginary axis) dominates; time constant s.
Verify: Steady-state gain (set ): . A step input of size settles to — finite, matching a stable system. ✓
Ex 2 — Cell B: complex-conjugate poles (ringing)
Forecast: The discriminant looks like it will go negative → complex poles → the thing should ring while decaying.
- Match the standard 2nd-order form . Why? This is the standard 2nd-order model — reading and off it tells us everything. rad/s. And .
- Solve the quadratic. Why? Poles are .
- Read it. Real part → decays. Imaginary part → rings at rad/s (the damped frequency). Since , this is underdamped: overshoot then settling.

Look at the red dots in the figure: they sit left of the vertical axis (stable) but off the horizontal axis (oscillating). Their distance from the origin is ; the angle from the vertical axis has cosine .
Verify: . ✓ And . ✓
Ex 3 — Cell C: a right-half-plane pole (unstable)
Forecast: That (a negative middle coefficient) is a red flag — one root may sneak into the right half. Guess: unstable.
- Factor. Why? Expose the poles. Poles at and .
- Check signs. Why? Any means a growing . Pole has → the term blows up.
- Conclusion: one RHP pole ⇒ UNSTABLE, no matter how stable the other pole is.
Verify (sign test): For a 2nd-order polynomial , all roots are left-half only if both and (the Routh-Hurwitz shortcut). Here → fails → unstable, agreeing with the factoring. ✓
Ex 4 — Cell D: pole on the imaginary axis (marginal)
Forecast: No decay term anywhere → neither blows up nor settles → marginally stable (borderline).
- (a) Integrator. Why look at alone? One pole at : , . Its time term is — constant, neither growing nor decaying. A step input gives output , which inverts to (a ramp that grows without bound). So an integrator is marginally stable: bounded inputs can produce unbounded output.
- (b) Oscillator. Why? . Real part , imaginary part . Term oscillates forever at rad/s with no decay — a bell that never stops.
- Conclusion: both live on the imaginary axis → marginally stable, the knife-edge between Cells A/B (left, stable) and Cell C (right, unstable).
Verify: For (b), poles at satisfy : . ✓ Real part exactly . ✓
Ex 5 — Cell E: a repeated (degenerate) pole
Forecast: Two poles stacked at the same spot . Still left-half → stable, but something changes in the shape.
- Identify the double pole. Why? gives twice — a repeated root.
- Recall the inverse transform for a double pole. Why this and not a single-pole rule? A single pole gives , but a repeated pole gives an extra factor of :
- Interpret. The multiplies, but decays faster than grows, so the product still → . Stable, non-oscillatory, but with a slower "critically-damped-like" rise (this is exactly the boundary).
Verify: peaks where its derivative is zero: s. Peak value . Finite, then decays → confirms stability. ✓
Ex 6 — Cell F: a zero enters (does it change stability?)
Forecast: Same poles in both. The mistake-callout in the parent warned us: zeros never decide stability. Guess: still stable, only the shape shifts.
- List poles for both. Why? Poles are the only stability arbiters. Both have poles at — identical, both left-half → both stable.
- The zero of . Why note it? zero at . It sits between the poles.
- What the zero does. Partial fractions of : the residues (coefficients ) change compared to , so the weights on and change — the transient shape differs (possible overshoot), but the exponents (and hence stability) are untouched.
Verify: DC gains differ, proving the zero reshapes the response: ; . Different steady values, same poles. ✓
Ex 7 — Cell G: a right-half-plane zero (non-minimum-phase)
Forecast: Stable (poles left), but the zero at is in the right half-plane — the classic "aircraft sinks before it climbs" signature.
- Poles. Why? Stability check. → , both left → stable. Good.
- Zero. Why? , a right-half-plane zero (RHP zero).
- The wrong-way move. Why does this happen? The initial slope of the step response has the sign of the high-frequency behaviour, while the final value has the sign of the DC gain — and an RHP zero makes these two opposite signs. Check the DC gain: (settles positive). But the leading coefficient of the numerator is , so the initial response kicks negative — the vehicle first dips, then rises.
Verify: Initial value theorem on the step response : initial velocity while . Opposite signs → wrong-way motion confirmed. ✓
Ex 8 — Cell H: real-world rocket actuator
Forecast: Middle coefficient positive, constant positive → stable. It looks 2nd-order → probably ringing (Cell B in disguise). Command rad → should settle near rad.
- Laplace with zero I.C. Why zero I.C.? A transfer function describes the actuator itself, so we start from rest.
- Form the ratio. Why? .
- Read . Why? Standard-form matching. rad/s; . Underdamped → small overshoot, then settles.
- Poles. . Left-half → stable.
- Steady-state accuracy. Why ? DC gain = final nozzle angle per unit command. → the nozzle exactly tracks the command in steady state (zero steady-state error).
Verify: ✓; ✓; (perfect tracking) ✓.
Ex 9 — Cell I: limiting values (DC gain and roll-off)
Forecast: At we get a finite number (DC gain). At the highest powers win: numerator , denominator , ratio — it rolls off.
- DC gain, . Why? Sets the steady response to a constant input.
- High-frequency limit, . Why? Tells how fast the system attenuates fast signals (roll-off). The system has one more pole (2) than zero (1), so it rolls off like — a dB/decade slope on a Bode plot.
- Interpret. Slow commands pass with gain ; fast jitter is filtered out.
Verify: ✓. Excess of poles over zeros , so as (finite), confirming a single-order roll-off. ✓
Ex 10 — Cell J: exam twist, parameter hides instability
Forecast: Increasing shrinks the constant term . Once turns negative, the sign test fails. Guess: stable for .
- Write the denominator coefficients. Why? Use the 2nd-order sign rule: has both roots left-half iff and . Here (always fine) and .
- Apply the condition. Why? Stability needs .
- The threshold. At : , so denominator → a pole at (on the axis) → marginally stable (Cell D). For : → a root crosses into the right half → unstable (Cell C).
Verify: At the boundary : poles ; one pole exactly on the imaginary axis → marginal, matching the derivation. At : , roots of are → one RHP pole → unstable. ✓
Recall Which cell was hardest — self-test
An RHP zero makes a system unstable. ::: False — only poles decide stability; an RHP zero (Ex 7) causes wrong-way motion but the system stays stable if poles are left-half. A double pole at is unstable because of the extra factor. ::: False — ; still stable (Ex 5). An integrator is stable. ::: No — it is marginally stable; a step input yields an unbounded ramp (Ex 4). For , the stability limit is ::: ; at marginal, above it unstable (Ex 10).
Connections
- Transfer function — Laplace domain, poles and zeros — the parent this deep-dive expands
- Second-order systems - damping ratio and natural frequency — used in Ex 2 and Ex 8
- Stability - Routh-Hurwitz criterion — the sign test used in Ex 3 and Ex 10
- Root locus — how poles move as a gain varies (Ex 10 is one point on such a locus)
- Bode plot — the roll-off computed in Ex 9